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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data s business value.
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For Senior Data Engineer (III) Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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What you’ll bring to Circle:For Senior Data Engineer (III)4+ years of professional data engineering experience. For Staff Data Engineer (IV)All the requirements of above and:7+ years of professional data engineering experience.
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The Senior Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse. Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus.
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As a Senior Data Engineer, you'll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions.
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As a Python Data Engineer in the Data Team, you will be responsible for maintaining and extending our data warehouse and data pipelines. The data engineer who fills this role will be responsible for maintaining the current infrastructure and adding to it/scaling it up as needed.
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As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Job summary •Hands on experience in Cisco Routing & Switching •In depth knowledge of routing protocols - BGP & OSPF •Hands on experience in Aruba Clear Pass & Wireless Controller •Hands on experience in Client switches •Hands on experience in Riverbed WAN optimizer •Hands on experience in Juniper Switches & Routers •Hands on experience in Citrix NetScaler Client •Excellent communication skill 3.
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As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 4+ years of professional data engineering experience.
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As a Lead Data Engineer you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve many different products.
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As a Senior Data Platform Engineer on the MMA IT Data and Analytics Team, we will count on you to design, monitor, build, and automate data pipelines. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Algo team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Title: data engineer Company: Betterhelp
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